ROAD CLASSIFICATION ACCORDING TO DRIVER POPULATION

A proposed model for classification of rural roads according to driver population characteristics is described. The driver population is distinguished by such traffic stream characteristics as trip purpose and trip length distribution, and the basic assumption made in the analysis is that the different traffic flow patterns observed at road sites result from different mixes of these characteristics. The highway systems of the provinces of Alberta and Saskatchewan are investigated for the purpose of developing and testing the model. The model suggests the application of some standard computational and statistical techniques to develop master patterns of traffic flow in order to recognize the driver population of a given road site. The proposed model is simple to apply and its data requirements can easily be satisfied by the types of data collection programs normally undertaken by highway agencies. Also, it is believed to be more objective and comprehensive than the existing methods used for the same purposes. The road classification resulting from the model could be used as an important criterion for many highway planning and design functions. Some examples of its application are (a) rationalization of provincewide traffic-counting programs, (b) design hourly volume considerations; (c) highway improvement programming; and, (d) highway capacity analysis.

• Record URL:
  http://onlinepubs.trb.org/Onlinepubs/trr/1986/1090/1090-009.pdf
• Record URL:
  https://scholar.google.com/scholar_lookup?title=ROAD+CLASSIFICATION+ACCORDING+TO+DRIVER+POPULATION&author=S.+Sharma&author=P.+Lingras&author=M.+HASSAN&author=N.+Murthy&publication_year=1986
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• Supplemental Notes:
  • Publication of this paper sponsored by Committee on Transportation Data and Information Systems. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved
• Authors:
  • Sharma, Satish C
  • Lingras, Pawan J
  • Hassan, Masood U
  • Murthy, Narasimha A S
• Publication Date: 1986

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 61-69
• Monograph Title: Statewide data collection and management systems
• Serial:
  • Transportation Research Record
  • Issue Number: 1090
  • Publisher: Transportation Research Board
  • ISSN: 0361-1981

Subject/Index Terms

• TRT Terms: Classification; Design volume; Drivers; Highway capacity; Highways; Human characteristics; Improvements; Mathematical models; Rural highways; Traffic counting; Traffic flow; Travel patterns; Trip distribution; Trip length; Trip purpose
• Uncontrolled Terms: Driver characteristics; Highway classification; Traffic patterns
• Subject Areas: Administration and Management; Highways; Planning and Forecasting; Safety and Human Factors; Society; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 00471785
• Record Type: Publication
• ISBN: 0309041104
• Files: TRIS, TRB
• Created Date: Mar 31 1988 12:00AM